[1] Motion charts provide mechanisms for mapping ordinal, nominal and quantitative variables onto time, 2D coordinate axes, size, colors, glyphs and appearance characteristics, which facilitate the interactive display of multidimensional and temporal data.
In general, charts, graphs and plots provide the means for summarizing quantitative and qualitative data using diverse graphical representations.
The main limitations of such static types of data exploratory and visualization are the low number of variables that can be shown simultaneously on the chart.
Many classical data visualization techniques have limitations in terms of the volume, properties or complexity of the dataset.
This mechanism enhances the dynamic appearance of the data in the motion chart and facilitates the visual inspection of associations, patterns and trends in multivariate datasets.